93 Healthcare AI jobs in Hong Kong

Qualifications

• Education Background: Bachelor's degree in Computer Science or related field
• Industry Experience: 5+ years of experience in Python project development in the IT/Mobile Internet industry, with at least 1 year of experience in Python AI project development
• Fundamental Knowledge: Solid foundation in Computer Science and strong logical reasoning abilities

• Development Skills:

• Programming Language: Proficient in Python and commonly used official libraries

• Tools: Familiar with IDEs and toolchains for Python development and debugging, Linux system administration, log debugging and analysis, error troubleshooting
• Networking: Basic knowledge of networking, including network architectures and TCP/IP protocols
• Middleware: Experienced in the development of caching, message queuing, database connection pooling, log collection, configuration management, and service discovery
• Databases: Proficient in SQL, MySQL/PostgreSQL usage and development
• Containerization: Knowledgeable about containerization technologies such as Docker, Kubernetes (k8s), with practical project experience

• Data Analysis, Processing, and Visualization

• AI Skills:

• Knowledge of AI fundamentals: mathematical foundations, machine learning, deep learning

• Familiarity with AI-related development libraries: scientific computing libraries, visualization tools, machine/deep learning frameworks
• Understanding of the principles and application scenarios of AI technologies such as Natural Language Understanding, Stable Diffusion, MJ, and large language models

• Experience in participating in the complete development stage of open-source AI/AIGC related production-level projects

• Project categories include but are not limited to: virtual assistants, language processing, image processing, video processing, text processing, and audio processing

• Experience in using AI-assisted development to improve productivity in production practices

• Obtain Hong Kong Talent Admission Scheme (HK TAS) and Talents with Outstanding Abilities (TOA) status first.

Responsible for the complete development stage of AI/AIGC related products: research, design, development, fixing, iteration.

Job Description:

Are you passionate about AI and eager to dive into the world of cutting-edge deep learning technologies? We're looking for a Junior AI Development Engineer to join our team and help develop groundbreaking climate/meteorological large models. This is an exciting opportunity to kickstart your career, work with experienced professionals, and gain hands-on experience with AI innovation in a supportive and collaborative environment.

Key Responsibilities:

1. Assist in optimizing and expanding the company's climate/meteorological large model algorithms.

2. Support data cleaning, preprocessing, and training tasks to improve model performance and efficiency.

3. Help design and maintain a local knowledge base to support model training and applications.

4. Collaborate on deploying large models in various projects based on specific requirements.

5. Work with the team to solve technical challenges and contribute to improving deep learning model performance.

Preferred Skills and Experience:

1. Bachelor's degree (or higher) in Artificial Intelligence, Computer Science, Data Science, Software Engineering, or related fields.

2. Familiarity with AI frameworks such as TensorFlow or PyTorch, with a strong interest in learning more.

3. Basic understanding of Transformer, Unet, or similar frameworks, and some experience with data preprocessing or model training is a plus.

4. Knowledge of programming languages like Python or C++, with a focus on clean coding practices.

5. Strong curiosity to learn new technologies and solve problems creatively.

6. Great teamwork and collaboration skills, with a proactive and enthusiastic attitude.

7. Interest in climate or meteorological applications is a bonus but not required

工作類型: 全職

薪酬: $20.00至$30.00(每月)

福利:

• 有薪年假
• 有薪病假
• 育嬰假
• 晉升機會
• 產假

Work Location: 親身到場

Job Description:

We are seeking an experienced Senior AI Development Engineer to lead the optimization, expansion, and product transformation of our climate/meteorological large model algorithms. In this role, you will play a strategic part in advancing our AI-driven solutions by overseeing model development, data processing, and innovative application deployment. This is a leadership-oriented position that requires deep technical expertise and a proven ability to deliver scalable AI solutions.

Key Responsibilities:

1. Oversee the optimization, expansion, and productization of climate/meteorological large model algorithms.

2. Lead data preprocessing, cleaning, and training of large-scale models, ensuring inference acceleration and performance optimization.

3. Design and manage a robust local knowledge base to support training and application of large models.

4. Implement tailored large model solutions based on specific project requirements.

5. Collaborate with cross-functional teams to solve complex technical challenges and propose innovative approaches to improve deep learning model performance.

Preferred Skills and Experience:

1. Master's degree or higher in Artificial Intelligence, Computer Science, Data Science, Software Engineering, or related fields.

2. Extensive experience with vector database storage and retrieval, including distributed deployment and maintenance.

3. Strong background in AI technologies, with deep expertise in frameworks such as TensorFlow or PyTorch.

4. Thorough understanding of Transformer, Unet, and similar architectures, with hands-on experience in data preprocessing, model training, fine-tuning, inference, and deployment.

5. Proficiency in programming languages like C++ and Python, with a strong focus on clean code and professional development habits.

6. Demonstrated ability to learn quickly and lead teams effectively, fostering collaboration and teamwork.

7. Prior experience with climate/meteorological large model architecture is highly desirable.

工作類型: 全職

薪酬: $35.00至$45.00(每月)

福利:

• 有薪年假
• 有薪病假
• 育嬰假
• 晉升機會
• 產假

Work Location: 親身到場

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

Requirements:

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

• Develop high-performance AI applications based on Ascend NPU/NVIDIA GPU clusters; optimize LLM training and inference workflows to improve thousand-card scale resource utilization.
• Deploy and maintain AI development frameworks (e.g. PyTorch/TensorFlow).
• Implement core modules such as RAG (Retrieval-Augmented Generation) enhanced retrieval, multi-model routing scheduling, and automated Prompt optimization.
• Build high-precision OCR document parsing systems to support vertical industry scenarios (e.g., energy, mining).
• Other ad-hoc tasks or duties assigned by the division.

Requirements

• Bachelor’s degree or above in Computer Science or related majors.
• Proficient in at least one programming language (Python/Go/Java); familiar with the Kubernetes ecosystem and AI development frameworks (PyTorch/TensorFlow).
• Mastery of core toolchains for intelligent computing centers: computing power scheduling platforms, storage management software, and RAG development processes.
• Familiarity with AI development tools (e.g., LangChain) or large-scale enterprise tool platforms (e.g., Alibaba PAI).
• Experience in application development and debugging for GPU servers (NVIDIA HGX/H100, Huawei Atlas).
• At least 3 years of experience in developing large-scale AI application projects.
• Strong communication and teamwork skills, able to coordinate with other departments. Possess certain technical management capabilities to formulate project plans and lead partners to complete project delivery.
• Serious and responsible work attitude, excellent learning ability, outstanding communication skills, and strong analytical and problem-solving capabilities for complex issues.
• Strong problem analysis and resolution skills, capable of quickly locating and resolving issues.

• Seniority level Associate

• Employment type Full-time

• Job function Engineering, Information Technology, and Project Management
• Industries Telecommunications

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Responsibilities

• Develop high-performance AI applications based on Ascend NPU/NVIDIA GPU clusters; optimize LLM training and inference workflows to improve thousand-card scale resource utilization.
• Deploy and maintain AI development frameworks (e.g. PyTorch/TensorFlow).
• Implement core modules such as RAG (Retrieval-Augmented Generation) enhanced retrieval, multi-model routing scheduling, and automated Prompt optimization.
• Build high-precision OCR document parsing systems to support vertical industry scenarios (e.g., energy, mining).
• Other ad-hoc tasks or duties assigned by the division.

Requirements

• Bachelor's degree or above in Computer Science or related majors.
• Proficient in at least one programming language (Python/Go/Java); familiar with the Kubernetes ecosystem and AI development frameworks (PyTorch/TensorFlow).
• Mastery of core toolchains for intelligent computing centers: computing power scheduling platforms, storage management software, and RAG development processes.
• Familiarity with AI development tools (e.g., LangChain) or large-scale enterprise tool platforms (e.g., Alibaba PAI).
• Experience in application development and debugging for GPU servers (NVIDIA HGX/H100, Huawei Atlas).
• At least 3 years of experience in developing large-scale AI application projects.
• Strong communication and teamwork skills, able to coordinate with other departments. Possess certain technical management capabilities to formulate project plans and lead partners to complete project delivery.
• Serious and responsible work attitude, excellent learning ability, outstanding communication skills, and strong analytical and problem-solving capabilities for complex issues.
• Strong problem analysis and resolution skills, capable of quickly locating and resolving issues.
• Language Proficiency: Cantonese, English.

Hourly Rate: HKD 70

Working Schedule: 2 days per week (until April 2026)

Location: Hong Kong (hybrid/remote arrangement negotiable)

About Master Concept

Master Concept is a leading technology advisor and AI solution provider recognized for innovative approaches in exploring, evaluating, architecting, and implementing AI and cloud technologies. As a Google Cloud Premier Partner, Master Concept leverages advanced AI models like Google Gemini to deliver cutting-edge AI applications that transform business operations by boosting efficiency, creativity, and decision-making. Joining our team means working at the forefront of AI innovation with access to state-of-the-art tools and industry expertise.

Role Overview

Join a forward-thinking team leveraging cutting-edge AI tools to develop and improve internal AI solutions that support business operations. This internship offers hands-on experience working with AI technologies directly—no prior coding experience required. Ideal for university students eager to explore AI development through practical tool-based approaches.

Responsibilities

• Use AI-powered tools to assist in creating, testing, and refining internal AI applications.

• Collaborate on data preparation, tool configuration, and performance evaluation.

• Support team members in documenting processes and sharing insights gained.

• Stay informed about advances in AI platforms and tools relevant to the projects.

• Contribute ideas and feedback to improve AI tool effectiveness and usability.

Requirements

• Currently enrolled in a university program (any discipline welcome, ideally with an interest in AI and technology).

• No prior coding or programming experience required.

• Willingness to learn and experiment with AI tools and platforms.

• Strong problem-solving mindset and eagerness to collaborate.

• Good communication and organizational skills.

Benefits to Candidates

• Gain practical AI experience using state-of-the-art AI platforms and tools without coding prerequisites .

• Build valuable skills in AI application development, data handling, and collaborative project work.

• Enhance your CV with hands-on internship experience in a rapidly growing field.

• Flexible part-time schedule compatible with academic commitments.

• Potential access to government internship schemes and future career opportunities in AI and tech .

• Supportive team environment encouraging learning and innovation.

Application

Please submit your CV highlighting your academic background and interest in AI to Early applications are welcomed.

• Develop high-performance AI applications based on Ascend NPU/NVIDIA GPU clusters; optimize LLM training and inference workflows to improve thousand-card scale resource utilization.
• Deploy and maintain AI development frameworks (e.g. PyTorch/TensorFlow).
• Implement core modules such as RAG (Retrieval-Augmented Generation) enhanced retrieval, multi-model routing scheduling, and automated Prompt optimization.
• Build high-precision OCR document parsing systems to support vertical industry scenarios (e.g., energy, mining).
• Other ad-hoc tasks or duties assigned by the division.

Requirements

• Bachelor’s degree or above in Computer Science or related majors.
• Proficient in at least one programming language (Python/Go/Java); familiar with the Kubernetes ecosystem and AI development frameworks (PyTorch/TensorFlow).
• Mastery of core toolchains for intelligent computing centers: computing power scheduling platforms, storage management software, and RAG development processes.
• Familiarity with AI development tools (e.g., LangChain) or large-scale enterprise tool platforms (e.g., Alibaba PAI).
• Experience in application development and debugging for GPU servers (NVIDIA HGX/H100, Huawei Atlas).
• At least 3 years of experience in developing large-scale AI application projects.
• Strong communication and teamwork skills, able to coordinate with other departments. Possess certain technical management capabilities to formulate project plans and lead partners to complete project delivery.
• Serious and responsible work attitude, excellent learning ability, outstanding communication skills, and strong analytical and problem-solving capabilities for complex issues.
• Strong problem analysis and resolution skills, capable of quickly locating and resolving issues.

• Seniority level Associate

• Employment type Full-time

• Job function Engineering, Information Technology, and Project Management
• Industries Telecommunications

Referrals increase your chances of interviewing at China Mobile International Limited by 2x

Get notified about new Application Development Engineer jobs in Hong Kong, Hong Kong SAR .

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.